Abstract
Designs are given for minimizing the effect of random error in interpolation or extrapolation. The case most intensively studied is that for first-degree polynomial models in k factors, although some results are given also for second-degree models. Emphasis is put on designs giving minimum variance at a particular point and satisfying additional requirements such as leading to good estimates of parameters.
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